Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review by Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta

Subjects: “…Multi-objective…”
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Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension by Chenxi Li, Jipeng Xue, Dongchen Zhou, Xiaomeng Qi, Ting Chen, Zhoubin Li

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Condition Recognition of High-Speed Train Bogie Based on Multi-View Kernel FCM by Qi Rao, Yan Yang, Yongquan Jiang

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Multi-functional broadband diffractive neural network with a single spatial light modulator by Bolin Li, Yinfei Zhu, Jinlei Fei, Runshi Zheng, Min Gu, Jian Lin

“…Herein, we report a reflection type, multi-functional, broadband DNN design. It consists of two phase-modulation layers based on a single spatial light modulator and a mirror facing it. …”
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Optimization of surface roughness for titanium alloy based on multi-strategy fusion snake algorithm by Nanqi Li, ZuEn Shang, Yang Zhao, Hui Wang, Qiyuan Min

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Evaluating the Cellophane Production Supply Chain Using Multi-Criteria Decision-Making Approaches by َAhmad Jafarnejad, Amir Mohammad Khani

“…Design/methodology/approach: Interpretive Structural Modelling (ISM) has been used along with the Multi-Criteria Decision-Making (MCDM) approaches, supported by the Analytic Network Process (ANP). …”
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Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate by Tabark Y. Gehad, Nejat Q. Omer, Nada S. Abdulmajeed

“…The Kirkuk Governorate has experienced significant urban growth in recent years, causing various environmental, economic, and social issues. the study aims to monitor the growth of Kirkuk Governorate from 1990-2020 using multi-spectral Landsat images to better understand urban development. …”
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Diagnostic value of multi-parameter ultrasound evaluation in sepsis complicated by acute kidney injury by Liu Wang, Xiang Wang

Subjects: “…Multi-parameter ultrasound evaluation…”
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Multi-Cavity Collection: A Method for Sampling Bulk Solutions from Plug Media by Jianjun Chen, Yangfeng Huang, Cynthia A. Robinson, Russell D. Caldwell

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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

“…This paper addresses key limitations of traditional steganographic methods, such as limited payload capacity, susceptibility to detection, and lack of robustness against attacks. A novel multi-layered steganographic framework is proposed, integrating Huffman coding, Least Significant Bit (LSB) embedding, and a deep learning-based encoder–decoder to enhance imperceptibility, robustness, and security. …”
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A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

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Willingness-to-pay to access Ingenol Mebutate Gel for Actinic Keratosis Treatment in the U.S. Setting by Michael Willis, Sandra Erntoft, Sofie Persson, Jenny M. Norlin, Ulf Persson

“…Subjects with experience of topical treatment stated higher WTP for accessing ingenol mebutate gel. Subjects whose most bothersome AK area was the full scalp or forehead also claimed higher WTP for ingenol mebutate gel. …”
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A multi-modal neuroimaging data release for Meige Syndrome and Facial Paralysis Research by Peng Gao, Jixin Luan, Aocai Yang, Manxi Xu, Kuan Lv, Pianpian Hu, Hongwei Yu, Zeshan Yao, Guolin Ma

“…However, there is a significant lack of multi-modal neuroimaging databases specifically focused on these conditions, which hampers our comprehensive knowledge of the neural foundations of facial paralysis. …”
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Testing CPT symmetry via precision mass measurements of multi-strange baryons in ALICE by Schotter Romain

“…The results significantly improve the precision from previous experiments, thus allowing direct tests of CPT symmetry to an unprecedented level of precision in the multi-strange baryon sector.…”
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Multi-Class Guided GAN for Remote-Sensing Image Synthesis Based on Semantic Labels by Zhenye Niu, Yuxia Li, Yushu Gong, Bowei Zhang, Yuan He, Jinglin Zhang, Mengyu Tian, Lei He

“…To tackle these challenges, we propose the Multi-Class Guided GAN (MCGGAN), a novel network for generating remote-sensing images from semantic labels. …”
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Hybrid Deep Learning for Gas Price Prediction Using Multi-Factor and Temporal Features by Shuliang Zhang, Hao Wu, Jin Wang, Longsheng Du

“…In this paper, we innovatively apply k-means clustering to analyze the correlations of multiple factors affecting natural gas prices and design a hybrid deep learning model that integrates both multi-factor and time series features. Through experimental validation on three public datasets, our proposed model achieves industry-leading predictive performance with a mean squared absolute error of 2.27, which is approximately a 1/3 improvement over the current state-of-the-art methods.…”
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Exploring the Structure of Possibility Multi-Fuzzy Soft Ordered Semigroups Through Interior Ideals by Sana Habib, Kashif Habib, Violeta Leoreanu-Fotea, Faiz Muhammad Khan

Subjects: “…multi-fuzzy soft sets…”
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Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization by Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan

Subjects: “…multi-view…”
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Development of a Multi-DOF Electromyography Prosthetic System Using the Adaptive Joint Mechanism by A. Hernandez Arieta, R. Katoh, H. Yokoi, Y. Wenwei

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A Multi-Target Threat Assessment Method Based on Objective Three-Way Decision by Humberto Baldessarini Pires, Lamartine Nogueira Frutuoso Guimaraes, Sergio Reboucas

“…The proposed method enables precise categorization based on attribute uncertainty without parameter adjustments, highlighting its effectiveness and suitability for multi-target TA in real-world scenarios.…”
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